Prospects & Challenges of Implementing Knowledge Management System in IT Industry

Recent past has seen an epidemic growth in the adoption of strategic information systems. In order to be successful, enterprises are putting in huge investments into implementation of information technology (IT) and knowledge management systems (KMS). KMS implementation in an IT industry has been discussed in this paper. Several challenges including multiple information sources, access control, and employee’s mistrust among others are being identified along with their possible solutions. Later foreseen benefits of KMS implementation including quicker problem identification, faster response time, and cost saving among others are being highlighted. The paper concludes with revealing future research possibilities.

Advancement in GSM Network to Access Cloud Services

Cloud services are offering a large number of utilities to the mobile users. Mobile users can share, store, develop, compute and many other services on the cloud. Due to extensive utilization of cloud services by the mobile users, security concerns are also evolving with the same pace. Among different security problems, secure access to the cloud services (cloud data utilization, data storage) is also a difficult and challenging task. This paper highlights the security concerns, particularly addresses the issue of secure access to cloud infrastructure, Such as access the cloud services securely by the mobile users. As Elastic Cloud Computing is valid only for Amazon, MLaden model is theoretical based model and not implemented practically, Wayne model enhances the end user security but not proposed tool for practical implementation. Intention of this paper is to propose mechanism to securely access the cloud services using GSM band. Only defined frequency band of GSM will provide the access to the cloud services. Users will be restricted to use the particular frequency to access the cloud services.

Performance Comparison of DSR and AODV Routing Protocols for Soft Delay Deadlines in Wireless Multimedia Sensor Network

Wireless Multimedia Sensor Network (WMSN) is a collection of the vast amount of different types of sensors like camera sensor, video and scalar sensors which are involved in retrieving multimedia data from the large environment. The real-time sending of video and audio content to the destination before a strict playout deadline has been necessary for multimedia environment. Otherwise, it will be dropped at the destination. In WMSN sending real time multimedia data with soft play deadlines is a challenging task to solve this challenge, routing protocols play an important role in WMSN. Routing demands of multimedia content of WMSNs need to be perfect routing protocols to optimize path selection and guarantee communication. This paper presents a performance comparison between two reactive routing protocols; namely AODV and DSR, with soft delay deadlines and efficient utilization of resources in WMSN. The objective is to assess the real-time behavior of these two protocols upon sending multimedia content. Here, we evaluate the performance with respect to the use of these matrices like latency, Average jitter, Average delay and throughput and factors includes are CBR and multimedia traffic with varying packet size and bandwidth. DSR perform better as compared to AODV routing protocol since it discovers the routes more efficiently. AODV is better in term of Jitter than DSR. NS-2 simulator tool used for the purpose of this comparison.

CYBER SECURITY AND INTERNET OF THINGS

Internet has become a vital part of our lives. The number of Internet connected devices are increasing every day and approximate there will be 34 billion IoT devices by 2020. It is observed that security is very weak in these devices and can be easily compromised by hackers as some manufactures failed to implement basic security. Current devices use standards that are easy to implement and works for most forms of communications and storage. There is no such standard solution that will work on every device within the Internet of Things, because of the varied constraints between different devices; resulting in classifications within the Internet of Things. This study addresses security challenges in the Internet of Things (IoT); first will discuss the IoT evolution, architecture and its applications in industries. Further, classify and examine privacy threats, including survey, and pointing out the challenges that need to be overcome to ensure that the Internet of Things becomes a reality.

Relationship of Social Progress Index (SPI) with Gross Domestic Product (GDP PPP per capita): The moderating role of Corruption Perception Index (CPI)

This study investigated the impact of social progress on economic development in 119 countries, while taking their individual corruption perception into consideration. Simple linear regression was use on the secondary data for 119 countries and 5 continents while the SPSS PROCESS macro was used to test the moderating effect of corruption perception. As hypothesized, a positive relationship of the social progress index (SPI) with gross domestic product (GDP) PPP per capita was observe. This means that countries, which fulfill basic human needs, foundations of wellbeing and foster availability of opportunities have enhanced economic development. Moreover, the moderating role of corruption perception between the relationship of social progress and economic development was confirmed; thus indicating that countries with better corruption perception rating possess a stronger relationship of SPI and GDP (PPP) per capita and vice versa. When checked for continents, moderation results showed that the continents that have higher values of corruption perception index (CPI) are more socially and economically developed.

Satellite Derived Sea surface temperature fronts in relation with Tuna catch In EEZ of Pakistan

Sea surface temperature (SST) is an important parameter in marine ecosystem studies as its relations of Fishery and other marine resources. In this study SST fronts have also been studied with relate to tuna fish catch data of April and August 2014 was acquired. Satellite derived MODIS daily products have been used to derive thermal fronts in the exclusive economic zone (EEZ) of Pakistan. Research results indicated that the Sea surface temperature gradually changed from 22C to 24C where Tuna catch is high and By Catch is low in frontal region. The further Relationship between these two data are discussed in this study and also made recommendations for in what way these two datasets should be handled. Remote sensing data and GIS tools are efficient and less time consuming for mapping and classifying sea surface temperature in a broader way. Survey of fishing resources is really time consumed and costly, Satellite Remote sensing data shows a promising tool to monitor fishery resources in a cost effective manner. Satellite data play an important role to identify fish aggregation zones and these techniques could also be used to forecast potential fishing zones by measuring oceanic parameters which influence on fish distribution on a broader scale and these techniques can help to local fisherman and fishery organizations to observe fishery resources.

Impact of Big Data over Telecom Industry

<p>During past few years, data is growing exponentially attracting researchers to work a popular term, the Big Data. Big Data is observed in various fields, such as information technology, telecommunication, theoretical computing, mathematics, data mining and data warehousing. Data science is frequently referred with Big Data as it uses methods to scale down the Big Data. Currently<br />more than 3.2 billion of the world population is connected to internet out of which 46% are connected via smart phones. Over 5.5 billion people are using cell phones. As technology is rapidly shifting from ordinary cell phones towards smart phones, therefore proportion of using internet is also growing. There<br />is a forecast that by 2020 around 7 billion people at the globe will be using internet out of which 52% will be using their smart phones to connect. In year 2050 that figure will be touching 95% of world population. Every device connect to internet generates data. As majority of the devices are using smart phones to<br />generate this data by using applications such as Instagram, WhatsApp, Apple, Google, Google+, Twitter, Flickr etc., therefore this huge amount of data is becoming a big threat for telecom sector. This paper is giving a comparison of amount of Big Data generated by telecom industry. Based on the collected data<br />we use forecasting tools to predict the amount of Big Data will be generated in future and also identify threats that telecom industry will be facing from that huge amount of Big Data.</p>

Ranking and Sensitivity Analysis of Key Factors for Successful Project Management Performance: An Application of AHP for Oil and Gas Sector

<p>Complexities faced by oil and gas projects due to uncertainty and risk, demand the implementation of project management techniques for their successful completion. Therefore, this is made by using analytical hierarchy process, to identify and prioritize the key factors for successful project management performance of oil and gas projects. These factors are categorized into three groups which include attributes of project staff, project planning process and assessment of project quality. Using expert choice, a hierarchy is developed followed by pairwise comparison based upon data collection from industrial experts of oil and gas sector. Results of analytical hierarchy process (AHP) concluded that, project completion within estimated time and budget, clarity of objectives and involvement of top management are most crucial elements for improvement in project management performance of oil and gas projects. Whereas sensitivity analysis being carried out according to three different scenarios highlighted factors according to their relative importance.</p>

Tributary Mapping Multiplexing an Efficient Technique for High Speed Fiber Optic Communication

<p>A novel technique of multiplexing called Tributary Mapping Multiplexing (TMM) is<br />applied to a single channel wavelength division multiplexing system and performance is monitored on the basis of simulation results. To elaborate the performance of TMM in this paper, a 4-User TMM system over single wavelength channel is demonstrated. TMM showed significant tolerance against narrow optical filtering as compared to that of conventional TDM at the rate of 40 Gbit/s. The above calculations are made by optical filter bandwidth and dispersion tolerance that was allowed at minimum. The spectral efficiency achieved by this TMM was 1 b/s/Hz and it was executed by using transmitters and receivers of 10 Gbit/s without polarized multiplexing. The high spectral efficiency, high dispersion tolerance and tolerance against strong optical filtering makes TMM an efficient technique for High<br />Speed Fiber Optic Communication.</p>

An overview of Customer Relationship Management Software in Business Organizations

<p>The aim of the article is to present details of the research on focus on the customer in relation to the utilization of the customer relationship management computerized system in business organization. Customer relationship management (CRM) plays a central role in the growth and success of corporations in an environment of fast technological development and the extensive competition currently in evidence. CRM empowers corporations with better customer awareness and helps to construct sustainable relationships with customers. People, technology, and processes are the three basic components of CRM. In order to ensure the successful implementation and adoption of the CRM<br />initiative, this paper presents a detailed review of the literature relating to CRM processes and its computerized system. Various types and levels of the CRM process as well as an understanding of the different perspectives of CRM are presented in this review. The paper suggests that it is important for an organization to understand the four major perspectives of CRM processes i.e. customer facing level processes, customer oriented processes, cross functional CRM processes and CRM macro-level processes. A survey is also conducted in this paper and a chi square test is performed to test the hypothesis relating<br />to the efficiency of customer relationship management and the client relationship it offers. Results show that the hypothesis is statistically significant.</p>